op {
  graph_op_name: "SparseSegmentSumGradV2"
  in_arg {
    name: "grad"
    description: <<END
gradient propagated to the SparseSegmentSum op.
END
  }
  in_arg {
    name: "indices"
    description: <<END
indices passed to the corresponding SparseSegmentSum op.
END
  }
  in_arg {
    name: "segment_ids"
    description: <<END
segment_ids passed to the corresponding SparseSegmentSum op.
END
  }
  in_arg {
    name: "dense_output_dim0"
    description: <<END
dimension 0 of "data" passed to SparseSegmentSum op.
END
  }
  summary: "Computes gradients for SparseSegmentSum."
  description: <<END
Returns tensor "output" with same shape as grad, except for dimension 0 whose
value is the number of unique indexes in "indices". Also returns vector
"sorted_unique_indices" containing the corresponding indexes from "indices".
END
}
